Dynamics of cancer cell filopodia characterized by super-resolution bright-field optical microscopy

Hsu, Tsi-Hsuan; Liao, Wen-Chieh; Yang, Pan‐Chyr; Wang, Chun‐Chieh; Xiao, Jian-Long; Lee, Chau‐Hwang

doi:10.1364/oe.15.000076

Cited by 11 publications

(11 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The influence of retrograde flow rate fluctuations will be addressed in future work. The above discussion of the barbed end dynamics and the retrograde flow process motivates us to write the following equation of motion for each filament length, h n , Dh n ¼ Àv retr Dt 1 jða n ; k n ; DtÞd À hða n ; k n ; DtÞd; (10) where Dh n denotes the change of h n in a time interval Dt and j, h are two random variables that take discrete values f0, 1g. When there is one polymerization event on the nth filament during Dt, j ¼ 1 and h ¼ 0, and when there is one depolymerization event during Dt, h ¼ 1 and j ¼ 0.…”

Section: Retrograde Flow and Equation Of Motionmentioning

confidence: 99%

“…In wound healing, fibroblast cells grow long filopodia that touch the other side of the cut, organizing the cells on the opposing sides and guiding smooth sealing of the opening (8,9). In cancer development, tumor cells may spread from their primary site to other places in the body through metastasis in which filopodia also play a role (10,11). Given the biological importance of filopodia, a number of recent works have investigated how the filopodial growth and retraction dynamics is regulated by various cellular structures and by internal and external signals (1)(2)(3)(4)9,10,(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Stochastic Dynamics of Filopodial Growth

Lan

Papoian

2008

Biophysical Journal

167

View full text Add to dashboard Cite

A filopodium is a cytoplasmic projection, exquisitely built and regulated, which extends from the leading edge of the migrating cell, exploring the cell's neighborhood. Commonly, filopodia grow and retract after their initiation, exhibiting rich dynamical behaviors. We model the growth of a filopodium based on a stochastic description which incorporates mechanical, physical, and biochemical components. Our model provides a full stochastic treatment of the actin monomer diffusion and polymerization of each individual actin filament under stress of the fluctuating membrane. We investigated the length distribution of individual filaments in a growing filopodium and studied how it depends on various physical parameters. The distribution of filament lengths turned out to be narrow, which we explained by the negative feedback created by the membrane load and monomeric G-actin gradient. We also discovered that filopodial growth is strongly diminished upon increasing retrograde flow, suggesting that regulating the retrograde flow rate would be a highly efficient way to control filopodial extension dynamics. The filopodial length increases as the membrane fluctuations decrease, which we attributed to the unequal loading of the membrane force among individual filaments, which, in turn, results in larger average polymerization rates. We also observed significant diffusional noise of G-actin monomers, which leads to smaller G-actin flux along the filopodial tube compared with the prediction using the diffusion equation. Overall, partial cancellation of these two fluctuation effects allows a simple mean field model to rationalize most of our simulation results. However, fast fluctuations significantly renormalize the mean field model parameters. The biological significance of our filopodial model and avenues for future development are also discussed.

show abstract

Section: Retrograde Flow and Equation Of Motionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Stochastic Dynamics of Filopodial Growth

Lan

Papoian

2008

Biophysical Journal

167

View full text Add to dashboard Cite

show abstract

“…We perform this by using a superresolution in depth microscopy technique called “optical profilometry” [16], [24]–[26] which provides with our configuration [27], [28] a depth profiling accuracy of around 1,2 nm and lateral resolution of about 200 nm ( figure S1 ). Because the optical profilometry technique profiles sample surface by light waves, it does not induce variations of membrane topography.…”

Section: Introductionmentioning

confidence: 99%

Membrane Nanowaves in Single and Collective Cell Migration

2014

View full text Add to dashboard Cite

We report the characterization of three-dimensional membrane waves for migrating single and collective cells and describe their propagation using wide-field optical profiling technique with nanometer resolution. We reveal the existence of small and large membrane waves the amplitudes of which are in the range of ∼3–7 nm to ∼16–25 nm respectively, through the cell. For migrating single-cells, the amplitude of these waves is about 30 nm near the cell edge. Two or more different directions of propagation of the membrane nanowaves inside the same cell can be observed. After increasing the migration velocity by BMP-2 treatment, only one wave direction of propagation exists with an increase in the average amplitude (more than 80 nm near the cell edge). Furthermore for collective-cell migration, these membrane nanowaves are attenuated on the leader cells and poor transmission of these nanowaves to follower cells was observed. After BMP-2 treatment, the membrane nanowaves are transmitted from the leader cell to several rows of follower cells. Surprisingly, the vast majority of the observed membrane nanowaves is shared between the adjacent cells. These results give a new view on how single and collective-cells modulate their motility. This work has significant implications for the therapeutic use of BMPs for the regeneration of skin tissue.

show abstract

“…Later, we demonstrated the observation on non-labeled filopodia of living lung cancer cells. 4 We also identified a new protein that enhances filopodium growth and promotes cancer metastasis. 5 Importantly, the signaling pathways of this protein might be a potential anticancer target.…”

mentioning

confidence: 95%

Dynamics of cancer cell filopodia characterized by super-resolution bright-field optical microscopy

Cited by 11 publications

References 14 publications

The Stochastic Dynamics of Filopodial Growth

The Stochastic Dynamics of Filopodial Growth

Membrane Nanowaves in Single and Collective Cell Migration

Label-free super-resolution imaging reveals the activities of cellular filopodia

Contact Info

Product

Resources

About